A study of endpoint detection algorithms in adverse conditions: incidence on a DTW and HMM recognizer. - Jean-Claude Junqua; Ben Reaves; Brian Mak (EUROSPEECH, 1991)

A robust speech/non-speech detection algorithm using time and frequency-based features. - Brian Mak; Jean-Claude Junqua; Ben Reaves (ICASSP, 1992)

A robust algorithm for word boundary detection in the presence of noise. - Jean-Claude Junqua; Brian Mak; Ben Reaves (IEEE Trans. Speech Audio Process., 1994)

Tone recognition of isolated Cantonese syllables. - Tan Lee 001; P. C. Ching; Lai-Wan Chan; Y. H. Cheng; Brian Mak (IEEE Trans. Speech Audio Process., 1995)

The contribution of consonants versus vowels to word recognition in fluent speech. - Ronald A. Cole; Yonghong Yan 002; Brian Mak; Mark A. Fanty; Troy Bailey (ICASSP, 1996)

Phone clustering using the bhattacharyya distance. - Brian Mak; Etienne Barnard (ICSLP, 1996)

Combining ANNs to improve phone recognition. - Brian Mak (ICASSP, 1997)

Subspace distribution clustering for continuous observation density hidden Markov models. - Enrico Bocchieri; Brian Mak (EUROSPEECH, 1997)

Training of subspace distribution clustering hidden Markov model. - Brian Mak; Enrico Bocchieri (ICASSP, 1998)

Training of context-dependent subspace distribution clustering hidden Markov model. - Brian Mak; Enrico Bocchieri (ICSLP, 1998)

MAP adaptation with subspace regression classes and tying. - Kwok-Man Wong; Brian Mak (ICASSP, 2000)

Pruning of state-tying tree using bayesian information criterion with multiple mixtures. - Yu-Chung Chan; Man-Hung Siu; Brian Kan-Wing Mak (INTERSPEECH, 2000)

Asynchrony with trained transition probabilities improves performance in multi-band speech recognition. - Brian Kan-Wing Mak; Yik-Cheung Tam (INTERSPEECH, 2000)

Optimization of sub-band weights using simulated noisy speech in multi-band speech recognition. - Yik-Cheung Tam; Brian Kan-Wing Mak (INTERSPEECH, 2000)

Development of an asynchronous multi-band system for continuous speech recognition. - Yik-Cheung Tam; Brian Kan-Wing Mak (INTERSPEECH, 2001)

Rapid speaker adaptation using MLLR and subspace regression classes. - Kwok-Man Wong; Brian Kan-Wing Mak (INTERSPEECH, 2001)

Subspace distribution clustering hidden Markov model. - Enrico Bocchieri; Brian Kan-Wing Mak (IEEE Trans. Speech Audio Process., 2001)

Direct training of subspace distribution clustering hidden Markov model. - Brian Kan-Wing Mak; Enrico Bocchieri (IEEE Trans. Speech Audio Process., 2001)

Discriminative auditory features for robust speech recognition. - Brian Mak; Yik-Cheung Tam; Peter Qi Li (ICASSP, 2002)

An alternative approach of finding competing hypotheses for better minimum classification error training. - Yik-Cheung Tam; Brian Mak (ICASSP, 2002)

Performance of discriminatively trained auditory features on Aurora2 and Aurora3. - Brian Kan-Wing Mak; Yik-Cheung Tam (INTERSPEECH, 2002)

Knowledge-based sense pruning using the hownet: an alternative to word sense disambiguation. - Kok-Wee Gan; Chi-Yung Wang; Brian Mak (ISCSLP, 2002)

A mathematical relationship between full-band and multiband mel-frequency cepstral coefficients. - Brian Mak (IEEE Signal Process. Lett., 2002)

Discriminative training of auditory filters of different shapes for robust speech recognition. - Brian Mak; Yik-Cheung Tam; Roger Hsiao (ICASSP (2), 2003)

Joint estimation of thresholds in a bi-threshold verification problem. - Simon Ka-Lung Ho; Brian Mak (INTERSPEECH, 2003)

Pruning transitions in a hidden Markov model with optimal brain surgeon. - Brian Kan-Wing Mak; Kin-Wah Chan (INTERSPEECH, 2003)

Eigenvoice Speaker Adaptation via Composite Kernel PCA. - James T. Kwok; Brian Mak; Simon Ka-Lung Ho (NIPS, 2003)

Discriminative feature transformation by guided discriminative training. - Roger Hsiao; Brian Mak (ICASSP (1), 2004)

A study of various composite kernels for kernel eigenvoice speaker adaptation. - Brian Mak; James T. Kwok; Simon Ka-Lung Ho (ICASSP (1), 2004)

Improving eigenspace-based MLLR adaptation by kernel PCA. - Brian Kan-Wing Mak; Roger Wend-Huu Hsiao (INTERSPEECH, 2004)

Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA. - Brian Mak; Simon Ka-Lung Ho; James T. Kwok (INTERSPEECH, 2004)

An Acoustic-Phonetic and a Model-Theoretic Analysis of Subspace Distribution Clustering Hidden Markov Models. - Brian Mak (Int. J. Speech Technol., 2004)

Discriminative auditory-based features for robust speech recognition. - Brian Kan-Wing Mak; Yik-Cheung Tam; Peter Qi Li (IEEE Trans. Speech Audio Process., 2004)

Kernel Eigenspace-based MLLR Adaptation Using Multiple Regression Classes. - Roger Wend-Huu Hsiao; Brian Kan-Wing Mak (ICASSP (1), 2005)

Various Reference Speakers Determination Methods for Embedded Kernel Eigenvoice Speaker Adaptation. - Brian Mak; Simon Ka-Lung Ho (ICASSP (1), 2005)

A comparative study of two kernel eigenspace-based speaker adaptation methods on large vocabulary continuous speech recognition. - Roger Wend-Huu Hsiao; Brian Kan-Wing Mak (INTERSPEECH, 2005)

High-density discrete HMM with the use of scalar quantization indexing. - Brian Mak; Jeff Siu-Kei Au-Yeung; Yiu-Pong Lai; Man-Hung Siu (INTERSPEECH, 2005)

Pruning Hidden Markov Models With Optimal Brain Surgeon. - Brian Kan-Wing Mak; Kin-Wah Chan (IEEE Trans. Speech Audio Process., 2005)

Kernel Eigenvoice Speaker Adaptation. - Brian Mak; James Tin-Yau Kwok; Simon Ka-Lung Ho (IEEE Trans. Speech Audio Process., 2005)

A Comparison of Various Adaptation Methods for Speaker Verification With Limited Enrollment Data. - Man-Wai Mak; Roger Wend-Huu Hsiao; Brian Mak (ICASSP (1), 2006)

Improving Reference Speaker Weighting Adaptation by the Use of Maximum-Likelihood Reference Speakers. - Brian Mak; Tsz-Chung Lai; Roger Wend-Huu Hsiao (ICASSP (1), 2006)

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression. - Ivor W. Tsang; James T. Kwok; Brian Mak; Kai Zhang 001; Jeffrey Junfeng Pan (ICASSP (1), 2006)

Automatic Audio Indexing and Audio Playback Speed Control as Tools for Language Learning. - David Rossiter; Gibson Lam; Brian Mak (ICWL, 2006)

Unsupervised Speaker Adaptation Using Reference Speaker Weighting. - Tsz-Chung Lai; Brian Mak (ISCSLP (Selected Papers), 2006)

Joint Optimization of the Frequency-Domain and Time-Domain Transformations in Deriving Generalized Static and Dynamic MFCCs. - Yiu-Pong Lai; Man-Hung Siu; Brian Mak (IEEE Signal Process. Lett., 2006)

Minimization of Utterance Verification Error Rate as a Constrained Optimization Problem. - Man-Hung Siu; Brian Mak; Wing-Hei Au (IEEE Signal Process. Lett., 2006)

Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting. - Brian Kan-Wing Mak; Roger Wend-Huu Hsiao; Simon Ka-Lung Ho; James T. Kwok (IEEE Trans. Speech Audio Process., 2006)

Robustness of several kernel-based fast adaptation methods on noisy LVCSR. - Brian Kan-Wing Mak; Roger Wend-Huu Hsiao (INTERSPEECH, 2007)

A model-based estimation of phonotactic language verification performance. - Kakeung Wong; Man-Hung Siu; Brian Mak (INTERSPEECH, 2007)

Boosting with anti-models for automatic language identification. - Xi Yang; Man-Hung Siu; Herbert Gish; Brian Mak (INTERSPEECH, 2007)

Kernel Eigenspace-Based MLLR Adaptation. - Brian Kan-Wing Mak; Roger Wend-Huu Hsiao (IEEE Trans. Speech Audio Process., 2007)

Discriminative training by iterative linear programming optimization. - Brian Mak; Benny Ng (ICASSP, 2008)

Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions. - Chien-Lin Huang; Bin Ma 001; Chung-Hsien Wu 001; Brian Mak; Haizhou Li 001 (INTERSPEECH, 2008)

Min-max discriminative training of decoding parameters using iterative linear programming. - Brian Mak; Tom Ko (INTERSPEECH, 2008)

Automatic estimation of decoding parameters using large-margin iterative linear programming. - Brian Mak; Tom Ko (INTERSPEECH, 2009)

Fast GMM computation for speaker verification using scalar quantization and discrete densities. - Guoli Ye; Brian Mak; Man-Wai Mak (INTERSPEECH, 2009)

Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. - Brian Kan-Wing Mak; Tsz-Chung Lai; Ivor W. Tsang; James Tin-Yau Kwok (IEEE Trans. Speech Audio Process., 2009)

Improving speech recognition by explicit modeling of phone deletions. - Tom Ko; Brian Mak (ICASSP, 2010)

The use of subvector quantization and discrete densities for fast GMM computation for speaker verification. - Guoli Ye; Brian Mak (INTERSPEECH, 2010)

Problems of modeling phone deletion in conversational speech for speech recognition. - Brian Mak; Tom Ko (ISCSLP, 2010)

Subvector-quantized high-density discrete hidden Markov model and its re-estimation. - Guoli Ye; Brian Mak (ISCSLP, 2010)

Eigentriphones: A basis for context-dependent acoustic modeling. - Tom Ko; Brian Mak (ICASSP, 2011)

A Fully Automated Derivation of State-Based Eigentriphones for Triphone Modeling with No Tied States Using Regularization. - Tom Ko; Brian Mak (INTERSPEECH, 2011)

Subspace high-density discrete hidden Markov model for automatic speech recognition. - Brian Mak; Guoli Ye (EUSIPCO, 2012)

Derivation of eigentriphones by weighted principal component analysis. - Tom Ko; Brian Mak (ICASSP, 2012)

Transition probabilities are more important than we once thought. - Guoli Ye; Dongpeng Chen; Brian Mak (ICASSP, 2012)

Welcome message from the technical program chairs. - Brian Mak; Bin Ma 001 (ISCSLP, 2012)

Speaker-ensemble hidden Markov modeling for automatic speech recognition. - Guoli Ye; Brian Mak (ISCSLP, 2012)

Distinct triphone modeling by reference model weighting. - Dongpeng Chen; Brian Mak (ICASSP, 2013)

Eigentriphones for Context-Dependent Acoustic Modeling. - Tom Ko; Brian Mak (IEEE Trans. Speech Audio Process., 2013)

Joint acoustic modeling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition. - Dongpeng Chen; Brian Mak; Cheung-Chi Leung; Sunil Sivadas (ICASSP, 2014)

Subspace Gaussian mixture model with state-dependent subspace dimensions. - Tom Ko; Brian Mak; Cheung-Chi Leung (ICASSP, 2014)

Joint sequence training of phone and grapheme acoustic model based on multi-task learning deep neural networks. - Dongpeng Chen; Brian Mak; Sunil Sivadas (INTERSPEECH, 2014)

Modeling inter-cluster and intra-cluster discrimination among triphones. - Tom Ko; Brian Kan-Wing Mak; Dongpeng Chen (ISCSLP, 2014)

Eigentrigraphemes for under-resourced languages. - Tom Ko; Brian Kan-Wing Mak (Speech Commun., 2014)

The harp of light: a musical string projection mapping. - Goh Wen Shyan; Brian Mak; Chee-Onn Wong; Tan Yee Lyn; Tey Zi Ming (Advances in Computer Entertainment, 2015)

Distinct triphone acoustic modeling using deep neural networks. - Dongpeng Chen; Brian Mak (INTERSPEECH, 2015)

Multitask Learning of Deep Neural Networks for Low-Resource Speech Recognition. - Dongpeng Chen; Brian Kan-Wing Mak (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Senone I-vectors for robust speaker verification. - Zhili Tan; Yingke Zhu; Man-Wai Mak; Brian Kan-Wing Mak (ISCSLP, 2016)

An investigation of adaptation techniques for building acoustic models for hearing-impaired children in a CAPT application. - Yingke Zhu; Brian Mak (ISCSLP, 2016)

Unsupervised adaptation of student DNNS learned from teacher RNNS for improved ASR performance. - Lahiru Samarakoon; Brian Mak (ASRU, 2017)

Derivation of Document Vectors from Adaptation of LSTM Language Model. - Wei Li; Brian Mak (EACL (2), 2017)

An investigation into learning effective speaker subspaces for robust unsupervised DNN adaptation. - Lahiru Samarakoon; Khe Chai Sim; Brian Mak (ICASSP, 2017)

Speeding up softmax computations in DNN-based large vocabulary speech recognition by senone weight vector selection. - Yingke Zhu; Brian Mak (ICASSP, 2017)

To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories. - Hengguan Huang; Brian Mak (INTERSPEECH, 2017)

Learning Factorized Transforms for Unsupervised Adaptation of LSTM-RNN Acoustic Models. - Lahiru Samarakoon; Brian Mak; Khe Chai Sim (INTERSPEECH, 2017)

End-To-End Low-Resource Lip-Reading with Maxout Cnn and Lstm. - Ivan Fung; Brian Mak (ICASSP, 2018)

learning Effective Factorized Hidden Layer Bases Using Student-Teacher Training for LSTM Acoustic Model Adaptation. - Lahiru Samarakoon; Brian Mak; Khe Chai Sim (ICASSP, 2018)

Fast Derivation of Cross-lingual Document Vectors from Self-attentive Neural Machine Translation Model. - Wei Li; Brian Mak (INTERSPEECH, 2018)

Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. - Yingke Zhu; Tom Ko; David Snyder; Brian Mak; Daniel Povey (INTERSPEECH, 2018)

Multi-Head Attention for End-to-End Neural Machine Translation. - Ivan Fung; Brian Mak (ISCSLP, 2018)

WaveNet MH-SRU: Deep and Wide Multiple-history Simple Recurrent Unit for Speech Recognition. - Hengguan Huang; Brian Mak (ISCSLP, 2018)

Subspace Based Sequence Discriminative Training of LSTM Acoustic Models with Feed-Forward Layers. - Lahiru Samarakoon; Brian Mak; Albert Y. S. Lam (ISCSLP, 2018)

Domain Adaptation of End-to-end Speech Recognition in Low-Resource Settings. - Lahiru Samarakoon; Brian Mak; Albert Y. S. Lam (SLT, 2018)

Fast derivation of neural network based document vectors with distance constraint and negative sampling. - Wei Li; Brian Mak (CoRR, 2018)

DNN-Based Score Calibration With Multitask Learning for Noise Robust Speaker Verification. - Zhili Tan; Man-Wai Mak; Brian Kan-Wing Mak (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Denoised Senone I-Vectors for Robust Speaker Verification. - Zhili Tan; Man-Wai Mak; Brian Kan-Wing Mak; Yingke Zhu (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Recurrent Poisson Process Unit for Speech Recognition. - Hengguan Huang; Hao Wang 014; Brian Mak (AAAI, 2019)

Mixup Learning Strategies for Text-Independent Speaker Verification. - Yingke Zhu; Tom Ko; Brian Mak (INTERSPEECH, 2019)

Stochastic Fine-Grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition. - Zhe Niu; Brian Mak (ECCV (16), 2020)

Orthogonal Training for Text-Independent Speaker Verification. - Yingke Zhu; Brian Mak (ICASSP, 2020)

Multi-Lingual Multi-Speaker Text-to-Speech Synthesis for Voice Cloning with Online Speaker Enrollment. - Zhaoyu Liu; Brian Mak (INTERSPEECH, 2020)

Orthogonality Regularizations for End-to-End Speaker Verification. - Yingke Zhu; Brian Mak (Odyssey, 2020)

Transformer based Multilingual document Embedding model. - Wei Li; Brian Mak (CoRR, 2020)

On-The-Fly Data Augmentation for Text-to-Speech Style Transfer. - Raymond Chung; Brian Mak (ASRU, 2021)

A Comparative Study of Acoustic and Linguistic Features Classification for Alzheimer's Disease Detection. - Jinchao Li; Jianwei Yu 001; Zi Ye 001; Simon Wong; Man-Wai Mak; Brian Mak; Xunying Liu; Helen Meng (ICASSP, 2021)

Non-Parallel Many-To-Many Voice Conversion by Knowledge Transfer from a Text-To-Speech Model. - Xinyuan Yu; Brian Mak (ICASSP, 2021)

Access on Demand: Real-time, Multi-modal Accessibility for the Deaf and Hard-of-Hearing based on Augmented Reality. - Roshan Mathew; Brian Mak; Wendy Dannels (ASSETS, 2022)

C2SLR: Consistency-enhanced Continuous Sign Language Recognition. - Ronglai Zuo; Brian Mak (CVPR, 2022)

Synthesizing Near Native-accented Speech for a Non-native Speaker by Imitating the Pronunciation and Prosody of a Native Speaker. - Raymond Chung; Brian Mak (INTERSPEECH, 2022)

Local Context-aware Self-attention for Continuous Sign Language Recognition. - Ronglai Zuo; Brian Mak (INTERSPEECH, 2022)

Two-Stream Network for Sign Language Recognition and Translation. - Yutong Chen; Ronglai Zuo; Fangyun Wei; Yu Wu 012; Shujie Liu 001; Brian Mak (NeurIPS, 2022)

Hardware-Control: Instrument control and automation package. - Grant Giesbrecht; Ariel Amsellem; Timo Bauer; Brian Mak; Brian Wynne; Zhihao Qin; Arun Persaud (J. Open Source Softw., 2022)

Natural Language-Assisted Sign Language Recognition. - Ronglai Zuo; Fangyun Wei; Brian Mak (CVPR, 2023)

On the Audio-visual Synchronization for Lip-to-Speech Synthesis. - Zhe Niu; Brian Mak (ICCV, 2023)

wav2vec 2.0 ASR for Cantonese-Speaking Older Adults in a Clinical Setting. - Ranzo Huang; Brian Mak (INTERSPEECH, 2023)

Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders. - Helen Meng; Brian Mak; Man-Wai Mak; Helene H. Fung; Xianmin Gong; Timothy C. Y. Kwok; Xunying Liu; Vincent C. T. Mok; Patrick C. M. Wong; Jean Woo; Xixin Wu; Ka Ho Wong; et al. (INTERSPEECH, 2023)

Bayesian Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. - Yingke Zhu; Brian Mak (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News. - Zhe Niu; Ronglai Zuo; Brian Mak; Fangyun Wei (LREC/COLING, 2024)

A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars. - Ronglai Zuo; Fangyun Wei; Zenggui Chen; Brian Mak; Jiaolong Yang; Xin Tong 001 (ECCV (49), 2024)

Towards Online Continuous Sign Language Recognition and Translation. - Ronglai Zuo; Fangyun Wei; Brian Mak (EMNLP, 2024)

Towards Online Sign Language Recognition and Translation. - Ronglai Zuo; Fangyun Wei; Brian Mak (CoRR, 2024)

Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal. - Ronglai Zuo; Brian Mak (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives. - Jinchao Li; Yuejiao Wang; Junan Li; Jiawen Kang 002; Bo Zheng; Simon Wong; Brian Mak; Helene H. Fung; Jean Woo; Man-Wai Mak; Timothy C. Y. Kwok; Vincent C. T. Mok; et al. (CoRR, 2025)

Residual Matrix Transformers: Scaling the Size of the Residual Stream. - Brian Mak; Jeffrey Flanigan (CoRR, 2025)